Job Description
Job Description Job Description Job Description Must Have Technical/Functional Skills
• Balor's degree or higher
• 12 years of experience in enterprise architecture with a focus on cloud data platforms
• Experience in handling multi-cloud platforms (either AWS/Azure, having experience on both will be good).
• Hands-on experience in architecture design, solution expertise and implementations.
• 5 Years of hand-on experience working on AWS Data and Analytics tool stack (S3, Glue, Athena, Lake Formation, EMR, Redshift, Kinesis, Open Search and others) or Databricks to build repeatable and reusable frameworks for building Data and AI Solutions
• Experience with SaaS data platforms - Databricks/Snowflake on AWS
• Exposure in monitoring and optimizing cloud cost, governance and security
• 5 years of experience designing and implementing scalable computing infrastructure for data solutions, including cloud architectures (AWS, Azure, Google Cloud).
• 5 Years of Experience in Data Warehouses, Data Lakes and Data Modelling techniques using Erwin
• 5 years of experience with data engineering and data pipelines for on-prem cloud, hybrid data models and data warehouses.
• 5 Years of coding experience with Python, Spark, R, SQL or other equivalent programming languages etc
• 3 Years of experience implementing Data quality and observability solutions across the enterprise